IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i7d10.1007_s10668-023-03307-9.html
   My bibliography  Save this article

Does climate-smart agriculture improve household income and food security? Evidence from Southern Ethiopia

Author

Listed:
  • Abrham Belay

    (University of Bonn
    University of Nairobi
    World Agroforestry Centre
    European Forest Institute (EFI))

  • Alisher Mirzabaev

    (University of Bonn)

  • John W. Recha

    (International Livestock Research Institute (ILRI))

  • Christopher Oludhe

    (University of Nairobi)

  • Philip M. Osano

    (World Agroforestry Centre)

  • Zerihun Berhane

    (Addis Ababa University)

  • Lydia A. Olaka

    (University of Nairobi
    The Technical University of Kenya)

  • Yitagesu T. Tegegne

    (European Forest Institute (EFI))

  • Teferi Demissie

    (International Livestock Research Institute (ILRI))

  • Chrispinus Mutsami

    (Intergovernmental Authority on Development)

  • Dawit Solomon

    (International Livestock Research Institute (ILRI))

Abstract

Climate change threatens African countries’ economic development and affects agriculture and food security. Ethiopia is especially vulnerable to the negative effects of climate change because its economy is dependent on climate-sensitive livelihoods that have limited potential for adaptation. Emerging evidence indicates that climate-smart agriculture (CSA) can help smallholder farmers adapt to climate change and increase agricultural productivity, thereby enhancing household income and food security. In the study area, different CSA practices have been adopted to mitigate the negative effects of climate change and improve agricultural productivity, income, and food security. Therefore, this study examines the impact of CSA practices on household income and food security in southern Ethiopia. A total of 385 households were selected using multistage sampling. Primary and secondary data were used, and propensity score matching with different types of matching algorithms, such as nearest neighbor, kernel, and radius matching, was employed to quantify the conditional impacts of CSA intervention on farm income and food security. In comparison with non adopters farmers that have adopted CSA practices had a higher food consumption score between 6.27 and 8.15, which was statistically significant at the 1% level. Overall, 34.55% of interviewed households had acceptable food consumption scores, 44.68% had borderline, and 20.77% had poor food consumption scores. Furthermore, households that adopted CSA practices had a 20.30% higher average annual farm income per hectare than non-adopters. The study suggests that effective extension services, accurate climate information, and sound policy support are required to promote and scale up CSA measures in the study area to improve farmers’ adaptive capacity, farm income, and food security.

Suggested Citation

  • Abrham Belay & Alisher Mirzabaev & John W. Recha & Christopher Oludhe & Philip M. Osano & Zerihun Berhane & Lydia A. Olaka & Yitagesu T. Tegegne & Teferi Demissie & Chrispinus Mutsami & Dawit Solomon, 2024. "Does climate-smart agriculture improve household income and food security? Evidence from Southern Ethiopia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 16711-16738, July.
  • Handle: RePEc:spr:endesu:v:26:y:2024:i:7:d:10.1007_s10668-023-03307-9
    DOI: 10.1007/s10668-023-03307-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-023-03307-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-023-03307-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kathleen Brüssow & Anja Faße & Ulrike Grote, 2017. "Implications of climate-smart strategy adoption by farm households for food security in Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(6), pages 1203-1218, December.
    2. Marra, Michele & Pannell, David J. & Abadi Ghadim, Amir, 2003. "The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve?," Agricultural Systems, Elsevier, vol. 75(2-3), pages 215-234.
    3. Ayorinde Ogunyiola & Maaz Gardezi & Sumit Vij, 2022. "Smallholder farmers’ engagement with climate smart agriculture in Africa: role of local knowledge and upscaling," Climate Policy, Taylor & Francis Journals, vol. 22(4), pages 411-426, April.
    4. Issahaku, Gazali & Abdulai, Awudu, 2020. "Adoption of climate-smart practices and its impact on farm performance and risk exposure among smallholder farmers in Ghana," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(2), April.
    5. Sascha O. Becker & Marco Caliendo, 2007. "Sensitivity analysis for average treatment effects," Stata Journal, StataCorp LP, vol. 7(1), pages 71-83, February.
    6. Gebeyanesh Zerssa & Debela Feyssa & Dong-Gill Kim & Bettina Eichler-Löbermann, 2021. "Challenges of Smallholder Farming in Ethiopia and Opportunities by Adopting Climate-Smart Agriculture," Agriculture, MDPI, vol. 11(3), pages 1-26, February.
    7. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    8. Alexis Habiyaremye, 2017. "Estimating the impact of sericulture adoption on farmer income in Rwanda: an application of propensity score matching," Agrekon, Taylor & Francis Journals, vol. 56(3), pages 296-311, July.
    9. DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, WZB Berlin Social Science Center.
    10. Leslie Lipper & Philip Thornton & Bruce M. Campbell & Tobias Baedeker & Ademola Braimoh & Martin Bwalya & Patrick Caron & Andrea Cattaneo & Dennis Garrity & Kevin Henry & Ryan Hottle & Louise Jackson , 2014. "Climate-smart agriculture for food security," Nature Climate Change, Nature, vol. 4(12), pages 1068-1072, December.
    11. James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, February.
    12. Belay Kassie & Senthold Asseng & Reimund Rotter & Huib Hengsdijk & Alex Ruane & Martin Ittersum, 2015. "Exploring climate change impacts and adaptation options for maize production in the Central Rift Valley of Ethiopia using different climate change scenarios and crop models," Climatic Change, Springer, vol. 129(1), pages 145-158, March.
    13. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    14. Chanyalew Seyoum Aweke & Edward Lahiff & Jemal Yousuf Hassen, 2020. "The contribution of agriculture to household dietary diversity: evidence from smallholders in East Hararghe, Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(3), pages 625-636, June.
    15. Makaiko G. Khonje & Julius Manda & Petros Mkandawire & Adane Hirpa Tufa & Arega D. Alene, 2018. "Adoption and welfare impacts of multiple agricultural technologies: evidence from eastern Zambia," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 599-609, September.
    16. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    17. Mwongera, Caroline & Shikuku, Kelvin M. & Twyman, Jennifer & Läderach, Peter & Ampaire, Edidah & Van Asten, Piet & Twomlow, Steve & Winowiecki, Leigh A., 2017. "Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies," Agricultural Systems, Elsevier, vol. 151(C), pages 192-203.
    18. Asif Sardar & Adiqa K. Kiani & Yasemin Kuslu, 2021. "Does adoption of climate-smart agriculture (CSA) practices improve farmers’ crop income? Assessing the determinants and its impacts in Punjab province, Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10119-10140, July.
    19. Robert B. Zougmoré & Peter Läderach & Bruce M. Campbell, 2021. "Transforming Food Systems in Africa under Climate Change Pressure: Role of Climate-Smart Agriculture," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    20. Shamsheer ul Haq & Ismet Boz & Pomi Shahbaz, 2021. "Adoption of climate-smart agriculture practices and differentiated nutritional outcome among rural households: a case of Punjab province, Pakistan," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(4), pages 913-931, August.
    21. Meron Tadesse & Belay Simane & Wuletawu Abera & Lulseged Tamene & Gebermedihin Ambaw & John W. Recha & Kindu Mekonnen & Getamesay Demeke & Abebe Nigussie & Dawit Solomon, 2021. "The Effect of Climate-Smart Agriculture on Soil Fertility, Crop Yield, and Soil Carbon in Southern Ethiopia," Sustainability, MDPI, vol. 13(8), pages 1-11, April.
    22. Enock Warinda & Dickson M. Nyariki & Stephen Wambua & Reuben Muasya, 2020. "Impact of smallholder farmers’ welfare through participation in on-farm regional projects in East Africa," Agrekon, Taylor & Francis Journals, vol. 59(1), pages 16-29, January.
    23. Gazali Issahaku & Awudu Abdulai, 2020. "Adoption of climate‐smart practices and its impact on farm performance and risk exposure among smallholder farmers in Ghana," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(2), pages 396-420, April.
    24. Khonje, Makaiko & Mkandawire, Petros & Manda, Julius & Alene, Arega, 2015. "Analysis of adoption and impacts of improved cassava varieties," 2015 Conference, August 9-14, 2015, Milan, Italy 211842, International Association of Agricultural Economists.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shiladitya Dey & Piyush K. Singh, 2023. "Role of market participation on smallholder vegetable farmers' wellbeing: Evidence from matching approach in Eastern India," Agribusiness, John Wiley & Sons, Ltd., vol. 39(4), pages 1217-1237, October.
    2. Liane Faltermeier & Awudu Abdulai, 2009. "The impact of water conservation and intensification technologies: empirical evidence for rice farmers in Ghana," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 365-379, May.
    3. Duvendack, Maren & Palmer-Jones, Richard, 2011. "The microfinance of reproduction and the reproduction of microfinance: understanding the connections between microfinance, empowerment, contraception and fertility in Bangladesh in the 1990s," MPRA Paper 32384, University Library of Munich, Germany.
    4. Origo, Federica, 2009. "Flexible pay, firm performance and the role of unions. New evidence from Italy," Labour Economics, Elsevier, vol. 16(1), pages 64-78, January.
    5. Maren Duvendack & Richard Palmer-Jones, 2012. "High Noon for Microfinance Impact Evaluations: Re-investigating the Evidence from Bangladesh," Journal of Development Studies, Taylor & Francis Journals, vol. 48(12), pages 1864-1880, December.
    6. Liverpool- Tasie, Lenis Saweda O. & Adjognon, Serge & Kuku-Shittu, Oluyemisi, 2015. "Productivity Effects of Sustainable Intensification: The Case of Urea Deep Placement for Rice Production in Niger State, Nigeria," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 10(1), pages 1-13, March.
    7. Caliendo, Marco & Clement, Michel & Papies, Dominik & Scheel-Kopeinig, Sabine, 2008. "The Cost Impact of Spam Filters: Measuring the Effect of Information System Technologies in Organizations," IZA Discussion Papers 3755, Institute of Labor Economics (IZA).
    8. Gong, Xuche & Yuan, Yan, 2017. "The Effect of School Transfers on Academic and Non-academic Performance of Rural-to-Urban Migrant Children in China," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259178, Agricultural and Applied Economics Association.
    9. Emileva, Begaiym & Kuhn, Lena & Bobojonov, Ihtiyor & Glauben, Thomas, 2023. "The role of smartphone-based weather information acquisition on climate change perception accuracy: Cross-country evidence from Kyrgyzstan, Mongolia and Uzbekistan," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 41, pages 1-1.
    10. Ashimwe, Olive, 2016. "An Economic Analysis Of Impact Of Weather Index-Based Crop Insurance On Household Income In Huye District Of Rwanda," Research Theses 276460, Collaborative Masters Program in Agricultural and Applied Economics.
    11. Bagnoli, Lisa, 2019. "Does health insurance improve health for all? Heterogeneous effects on children in Ghana," World Development, Elsevier, vol. 124(C), pages 1-1.
    12. Duvendack, Maren, 2010. "Smoke and Mirrors: Evidence of Microfinance Impact from an Evaluation of SEWA Bank in India," MPRA Paper 24511, University Library of Munich, Germany.
    13. Ashimwe, Olive, 2016. "An Economic Analysis Of Impact Of Weather Index-Based Crop Insurance On Household Income In Huye District Of Rwanda," Research Theses 265675, Collaborative Masters Program in Agricultural and Applied Economics.
    14. D. Mark Anderson, 2013. "The Impact Of Hiv Education On Behavior Among Youths: A Propensity Score Matching Approach," Contemporary Economic Policy, Western Economic Association International, vol. 31(3), pages 503-527, July.
    15. Ragasa, Catherine & Mazunda, John, 2018. "The impact of agricultural extension services in the context of a heavily subsidized input system: The case of Malawi," World Development, Elsevier, vol. 105(C), pages 25-47.
    16. Nelson, Erik J. & Withey, John C. & Pennington, Derric & Lawler, Joshua J., 2017. "Identifying the impacts of critical habitat designation on land cover change," Resource and Energy Economics, Elsevier, vol. 47(C), pages 89-125.
    17. McBride, William D. & Greene, Catherine & Foreman, Linda & Ali, Mir, 2015. "The Profit Potential of Certified Organic Field Crop Production," Economic Research Report 262208, United States Department of Agriculture, Economic Research Service.
    18. Seng, Kimty, 2017. "Considering the Effects of Mobile Phones on Financial Inclusion in Cambodia," MPRA Paper 82225, University Library of Munich, Germany, revised 27 Oct 2017.
    19. Ainembabazi, John Herbert & Abdoulaye, Tahirou & Feleke, Shiferaw & Alene, Arega & Dontsop-Nguezet, Paul M. & Ndayisaba, Pierre Celestin & Hicintuka, Cyrille & Mapatano, Sylvain & Manyong, Victor, 2018. "Who benefits from which agricultural research-for-development technologies? Evidence from farm household poverty analysis in Central Africa," World Development, Elsevier, vol. 108(C), pages 28-46.
    20. Rishika Rishika & Ashish Kumar & Ramkumar Janakiraman & Ram Bezawada, 2013. "The Effect of Customers' Social Media Participation on Customer Visit Frequency and Profitability: An Empirical Investigation," Information Systems Research, INFORMS, vol. 24(1), pages 108-127, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:26:y:2024:i:7:d:10.1007_s10668-023-03307-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.